Overview

Brought to you by YData

Dataset statistics

Number of variables21
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory174.3 B

Variable types

Numeric21

Alerts

Almacén is highly overall correlated with Cliente_1 and 8 other fieldsHigh correlation
Cliente_1 is highly overall correlated with Almacén and 9 other fieldsHigh correlation
Cliente_10 is highly overall correlated with Almacén and 9 other fieldsHigh correlation
Cliente_11 is highly overall correlated with Almacén and 10 other fieldsHigh correlation
Cliente_12 is highly overall correlated with Cliente_1 and 7 other fieldsHigh correlation
Cliente_13 is highly overall correlated with Cliente_2 and 4 other fieldsHigh correlation
Cliente_14 is highly overall correlated with Cliente_1 and 6 other fieldsHigh correlation
Cliente_15 is highly overall correlated with Cliente_12 and 2 other fieldsHigh correlation
Cliente_16 is highly overall correlated with Almacén and 9 other fieldsHigh correlation
Cliente_17 is highly overall correlated with Almacén and 8 other fieldsHigh correlation
Cliente_18 is highly overall correlated with Cliente_12 and 3 other fieldsHigh correlation
Cliente_19 is highly overall correlated with Almacén and 7 other fieldsHigh correlation
Cliente_2 is highly overall correlated with Cliente_13 and 4 other fieldsHigh correlation
Cliente_20 is highly overall correlated with Cliente_13 and 1 other fieldsHigh correlation
Cliente_3 is highly overall correlated with Cliente_13 and 3 other fieldsHigh correlation
Cliente_4 is highly overall correlated with Almacén and 9 other fieldsHigh correlation
Cliente_5 is highly overall correlated with Cliente_9High correlation
Cliente_6 is highly overall correlated with Almacén and 7 other fieldsHigh correlation
Cliente_7 is highly overall correlated with Cliente_13 and 2 other fieldsHigh correlation
Cliente_8 is highly overall correlated with Cliente_15 and 2 other fieldsHigh correlation
Cliente_9 is highly overall correlated with Almacén and 9 other fieldsHigh correlation
Cliente_1 has unique values Unique
Cliente_2 has unique values Unique
Cliente_4 has unique values Unique
Cliente_11 has unique values Unique
Cliente_12 has unique values Unique
Cliente_18 has unique values Unique
Cliente_19 has unique values Unique
Cliente_20 has unique values Unique
Almacén has unique values Unique
Cliente_1 has 1 (4.8%) zeros Zeros
Cliente_2 has 1 (4.8%) zeros Zeros
Cliente_3 has 4 (19.0%) zeros Zeros
Cliente_4 has 1 (4.8%) zeros Zeros
Cliente_5 has 5 (23.8%) zeros Zeros
Cliente_6 has 2 (9.5%) zeros Zeros
Cliente_7 has 6 (28.6%) zeros Zeros
Cliente_8 has 2 (9.5%) zeros Zeros
Cliente_9 has 2 (9.5%) zeros Zeros
Cliente_10 has 3 (14.3%) zeros Zeros
Cliente_11 has 1 (4.8%) zeros Zeros
Cliente_12 has 1 (4.8%) zeros Zeros
Cliente_13 has 2 (9.5%) zeros Zeros
Cliente_14 has 6 (28.6%) zeros Zeros
Cliente_15 has 3 (14.3%) zeros Zeros
Cliente_16 has 3 (14.3%) zeros Zeros
Cliente_17 has 2 (9.5%) zeros Zeros
Cliente_18 has 1 (4.8%) zeros Zeros
Cliente_19 has 1 (4.8%) zeros Zeros
Cliente_20 has 1 (4.8%) zeros Zeros
Almacén has 1 (4.8%) zeros Zeros

Reproduction

Analysis started2024-11-13 17:57:46.733547
Analysis finished2024-11-13 17:58:25.658457
Duration38.92 seconds
Software versionydata-profiling vv4.11.0
Download configurationconfig.json

Variables

Cliente_1
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5363571
Minimum0
Maximum22.1445
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:25.738917image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1998
Q12.2133
median5.447
Q310.8288
95-th percentile20.4871
Maximum22.1445
Range22.1445
Interquartile range (IQR)8.6155

Descriptive statistics

Standard deviation6.5070817
Coefficient of variation (CV)0.86342533
Kurtosis0.12222285
Mean7.5363571
Median Absolute Deviation (MAD)3.6986
Skewness1.040867
Sum158.2635
Variance42.342112
MonotonicityNot monotonic
2024-11-13T18:58:25.851370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 1
 
4.8%
7.5625 1
 
4.8%
15.5365 1
 
4.8%
1.1998 1
 
4.8%
4.7145 1
 
4.8%
1.7407 1
 
4.8%
7.9408 1
 
4.8%
17.1947 1
 
4.8%
4.2933 1
 
4.8%
3.2659 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
1.1998 1
4.8%
1.5775 1
4.8%
1.7407 1
4.8%
2.1866 1
4.8%
2.2133 1
4.8%
3.2659 1
4.8%
3.6114 1
4.8%
4.2933 1
4.8%
4.7145 1
4.8%
ValueCountFrequency (%)
22.1445 1
4.8%
20.4871 1
4.8%
17.1947 1
4.8%
15.5365 1
4.8%
11.1505 1
4.8%
10.8288 1
4.8%
9.1456 1
4.8%
7.9408 1
4.8%
7.5625 1
4.8%
6.0225 1
4.8%

Cliente_2
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8646667
Minimum0
Maximum19.8218
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:25.969157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4847
Q17.1521
median9.6369
Q313.7974
95-th percentile19.1038
Maximum19.8218
Range19.8218
Interquartile range (IQR)6.6453

Descriptive statistics

Standard deviation5.6412415
Coefficient of variation (CV)0.57186337
Kurtosis-0.50926826
Mean9.8646667
Median Absolute Deviation (MAD)3.8538
Skewness0.051953512
Sum207.158
Variance31.823606
MonotonicityNot monotonic
2024-11-13T18:58:26.102499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7.5625 1
 
4.8%
0 1
 
4.8%
3.3838 1
 
4.8%
7.7433 1
 
4.8%
14.572 1
 
4.8%
8.5237 1
 
4.8%
0.4847 1
 
4.8%
13.7974 1
 
4.8%
10.1522 1
 
4.8%
7.1521 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
0.4847 1
4.8%
2.6961 1
4.8%
3.3838 1
4.8%
7.0275 1
4.8%
7.1521 1
4.8%
7.5625 1
4.8%
7.7433 1
4.8%
8.2737 1
4.8%
8.5237 1
4.8%
ValueCountFrequency (%)
19.8218 1
4.8%
19.1038 1
4.8%
18.0835 1
4.8%
14.8113 1
4.8%
14.572 1
4.8%
13.7974 1
4.8%
13.4907 1
4.8%
10.7361 1
4.8%
10.1522 1
4.8%
10.1049 1
4.8%

Cliente_3
Real number (ℝ)

High correlation  Zeros 

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.621152
Minimum0
Maximum22.0599
Zeros4
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:26.227379image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.0114
median12.5438
Q315.7289
95-th percentile17.9217
Maximum22.0599
Range22.0599
Interquartile range (IQR)10.7175

Descriptive statistics

Standard deviation6.7793036
Coefficient of variation (CV)0.63828325
Kurtosis-0.94843863
Mean10.621152
Median Absolute Deviation (MAD)4.0559
Skewness-0.44323894
Sum223.0442
Variance45.958958
MonotonicityNot monotonic
2024-11-13T18:58:26.336477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4
19.0%
15.5365 1
 
4.8%
3.3838 1
 
4.8%
12.5438 1
 
4.8%
16.0355 1
 
4.8%
13.912 1
 
4.8%
13.0649 1
 
4.8%
17.0494 1
 
4.8%
12.343 1
 
4.8%
5.0114 1
 
4.8%
Other values (8) 8
38.1%
ValueCountFrequency (%)
0 4
19.0%
3.3838 1
 
4.8%
5.0114 1
 
4.8%
7.7574 1
 
4.8%
9.6824 1
 
4.8%
10.5118 1
 
4.8%
12.343 1
 
4.8%
12.5438 1
 
4.8%
13.0649 1
 
4.8%
13.9021 1
 
4.8%
ValueCountFrequency (%)
22.0599 1
4.8%
17.9217 1
4.8%
17.0494 1
4.8%
16.5997 1
4.8%
16.0355 1
4.8%
15.7289 1
4.8%
15.5365 1
4.8%
13.912 1
4.8%
13.9021 1
4.8%
13.0649 1
4.8%

Cliente_4
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3573619
Minimum0
Maximum21.1518
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:26.447662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9119
Q12.8799
median5.0721
Q311.1926
95-th percentile20.7019
Maximum21.1518
Range21.1518
Interquartile range (IQR)8.3127

Descriptive statistics

Standard deviation6.3304446
Coefficient of variation (CV)0.86042317
Kurtosis0.20831431
Mean7.3573619
Median Absolute Deviation (MAD)3.7594
Skewness1.0390111
Sum154.5046
Variance40.074529
MonotonicityNot monotonic
2024-11-13T18:58:26.564650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1.1998 1
 
4.8%
7.7433 1
 
4.8%
12.5438 1
 
4.8%
0 1
 
4.8%
5.0721 1
 
4.8%
0.9119 1
 
4.8%
7.5798 1
 
4.8%
17.4095 1
 
4.8%
3.5781 1
 
4.8%
3.3451 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
0.9119 1
4.8%
1.1998 1
4.8%
1.3127 1
4.8%
2.8532 1
4.8%
2.8799 1
4.8%
3.3451 1
4.8%
3.3673 1
4.8%
3.5781 1
4.8%
4.7117 1
4.8%
ValueCountFrequency (%)
21.1518 1
4.8%
20.7019 1
4.8%
17.4095 1
4.8%
12.5438 1
4.8%
11.361 1
4.8%
11.1926 1
4.8%
9.3561 1
4.8%
7.7433 1
4.8%
7.5798 1
4.8%
6.233 1
4.8%

Cliente_5
Real number (ℝ)

High correlation  Zeros 

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8020429
Minimum0
Maximum25.5947
Zeros5
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:26.672452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.6253
median5.0721
Q39.1064
95-th percentile21.3384
Maximum25.5947
Range25.5947
Interquartile range (IQR)6.4811

Descriptive statistics

Standard deviation6.8806513
Coefficient of variation (CV)1.0115566
Kurtosis2.0682176
Mean6.8020429
Median Absolute Deviation (MAD)4.0343
Skewness1.4667067
Sum142.8429
Variance47.343362
MonotonicityNot monotonic
2024-11-13T18:58:26.788465image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
23.8%
4.7145 1
 
4.8%
14.572 1
 
4.8%
5.0721 1
 
4.8%
4.8187 1
 
4.8%
7.217 1
 
4.8%
2.6253 1
 
4.8%
6.8738 1
 
4.8%
9.1064 1
 
4.8%
3.6476 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
0 5
23.8%
2.6253 1
 
4.8%
3.6476 1
 
4.8%
4.5417 1
 
4.8%
4.7145 1
 
4.8%
4.8187 1
 
4.8%
5.0721 1
 
4.8%
5.2872 1
 
4.8%
5.4347 1
 
4.8%
6.8738 1
 
4.8%
ValueCountFrequency (%)
25.5947 1
4.8%
21.3384 1
4.8%
14.572 1
4.8%
12.0019 1
4.8%
9.9969 1
4.8%
9.1064 1
4.8%
7.217 1
4.8%
6.8738 1
4.8%
5.4347 1
4.8%
5.2872 1
4.8%

Cliente_6
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.300319
Minimum0
Maximum20.4797
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:26.907347image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.6952
median4.8187
Q311.4008
95-th percentile20.0472
Maximum20.4797
Range20.4797
Interquartile range (IQR)8.7056

Descriptive statistics

Standard deviation6.6457817
Coefficient of variation (CV)0.91034126
Kurtosis-0.25141097
Mean7.300319
Median Absolute Deviation (MAD)3.705
Skewness0.94453073
Sum153.3067
Variance44.166414
MonotonicityNot monotonic
2024-11-13T18:58:27.019889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
1.7407 1
 
4.8%
8.5237 1
 
4.8%
0.9119 1
 
4.8%
4.8187 1
 
4.8%
7.8866 1
 
4.8%
20.0472 1
 
4.8%
2.906 1
 
4.8%
4.0899 1
 
4.8%
2.889 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
0.9119 1
4.8%
1.7407 1
4.8%
2.0575 1
4.8%
2.6952 1
4.8%
2.889 1
4.8%
2.906 1
4.8%
3.2185 1
4.8%
4.0899 1
4.8%
4.8187 1
4.8%
ValueCountFrequency (%)
20.4797 1
4.8%
20.0472 1
4.8%
19.7467 1
4.8%
14.003 1
4.8%
11.9981 1
4.8%
11.4008 1
4.8%
8.875 1
4.8%
8.5237 1
4.8%
7.8866 1
4.8%
5.0185 1
4.8%

Cliente_7
Real number (ℝ)

High correlation  Zeros 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3477619
Minimum0
Maximum20.0138
Zeros6
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:27.126168image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.8866
Q310.2968
95-th percentile17.1722
Maximum20.0138
Range20.0138
Interquartile range (IQR)10.2968

Descriptive statistics

Standard deviation6.1975318
Coefficient of variation (CV)0.84345844
Kurtosis-0.739648
Mean7.3477619
Median Absolute Deviation (MAD)6.1027
Skewness0.26209574
Sum154.303
Variance38.4094
MonotonicityNot monotonic
2024-11-13T18:58:27.248985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
28.6%
7.9408 1
 
4.8%
0.4847 1
 
4.8%
7.5798 1
 
4.8%
7.8866 1
 
4.8%
13.9893 1
 
4.8%
10.1499 1
 
4.8%
7.344 1
 
4.8%
15.0032 1
 
4.8%
10.2968 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 6
28.6%
0.4847 1
 
4.8%
7.2194 1
 
4.8%
7.344 1
 
4.8%
7.5798 1
 
4.8%
7.8866 1
 
4.8%
7.9408 1
 
4.8%
8.4656 1
 
4.8%
9.8289 1
 
4.8%
10.1499 1
 
4.8%
ValueCountFrequency (%)
20.0138 1
4.8%
17.1722 1
4.8%
15.0032 1
4.8%
13.9893 1
4.8%
10.928 1
4.8%
10.2968 1
4.8%
10.1499 1
4.8%
9.8289 1
4.8%
8.4656 1
4.8%
7.9408 1
4.8%

Cliente_8
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.801343
Minimum0
Maximum34.1368
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:27.484322image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.9161
median14.8623
Q317.4095
95-th percentile22.6587
Maximum34.1368
Range34.1368
Interquartile range (IQR)4.4934

Descriptive statistics

Standard deviation7.4266769
Coefficient of variation (CV)0.50175696
Kurtosis2.0332225
Mean14.801343
Median Absolute Deviation (MAD)2.5472
Skewness0.11351836
Sum310.8282
Variance55.155529
MonotonicityNot monotonic
2024-11-13T18:58:27.610547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
17.1947 1
 
4.8%
16.0355 1
 
4.8%
13.7974 1
 
4.8%
17.4095 1
 
4.8%
20.0472 1
 
4.8%
13.9893 1
 
4.8%
19.6963 1
 
4.8%
12.9161 1
 
4.8%
16.1829 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
5.9742 1
4.8%
8.9984 1
4.8%
12.3127 1
4.8%
12.9161 1
4.8%
13.5906 1
4.8%
13.7974 1
4.8%
13.9893 1
4.8%
14.6038 1
4.8%
14.8623 1
4.8%
ValueCountFrequency (%)
34.1368 1
4.8%
22.6587 1
4.8%
20.8703 1
4.8%
20.0472 1
4.8%
19.6963 1
4.8%
17.4095 1
4.8%
17.1947 1
4.8%
16.1829 1
4.8%
16.0355 1
4.8%
15.5515 1
4.8%

Cliente_9
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0051571
Minimum0
Maximum24.567
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:27.730850image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5781
median7.7229
Q313.2255
95-th percentile22.9781
Maximum24.567
Range24.567
Interquartile range (IQR)9.6474

Descriptive statistics

Standard deviation7.1570346
Coefficient of variation (CV)0.79477065
Kurtosis-0.065587202
Mean9.0051571
Median Absolute Deviation (MAD)4.1916
Skewness0.80889684
Sum189.1083
Variance51.223144
MonotonicityNot monotonic
2024-11-13T18:58:27.850294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
4.2933 1
 
4.8%
13.912 1
 
4.8%
10.1522 1
 
4.8%
3.5781 1
 
4.8%
2.906 1
 
4.8%
10.1499 1
 
4.8%
19.6963 1
 
4.8%
6.8679 1
 
4.8%
3.5313 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
1.0494 1
4.8%
2.906 1
4.8%
3.5313 1
4.8%
3.5781 1
4.8%
4.2933 1
4.8%
4.5536 1
4.8%
4.8355 1
4.8%
6.8679 1
4.8%
7.7229 1
4.8%
ValueCountFrequency (%)
24.567 1
4.8%
22.9781 1
4.8%
19.6963 1
4.8%
15.2304 1
4.8%
13.912 1
4.8%
13.2255 1
4.8%
10.1522 1
4.8%
10.1499 1
4.8%
10.1024 1
4.8%
9.7565 1
4.8%

Cliente_10
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9694762
Minimum0
Maximum21.1407
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:27.963806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3451
median5.9516
Q38.2196
95-th percentile17.5604
Maximum21.1407
Range21.1407
Interquartile range (IQR)4.8745

Descriptive statistics

Standard deviation5.5591623
Coefficient of variation (CV)0.7976442
Kurtosis1.0041072
Mean6.9694762
Median Absolute Deviation (MAD)2.6065
Skewness1.0515826
Sum146.359
Variance30.904285
MonotonicityNot monotonic
2024-11-13T18:58:28.072043image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
7.1521 1
 
4.8%
3.2659 1
 
4.8%
13.0649 1
 
4.8%
3.3451 1
 
4.8%
4.0899 1
 
4.8%
7.217 1
 
4.8%
7.344 1
 
4.8%
12.9161 1
 
4.8%
6.8679 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
2.3061 1
 
4.8%
3.2659 1
 
4.8%
3.3451 1
 
4.8%
4.0899 1
 
4.8%
4.7283 1
 
4.8%
4.9896 1
 
4.8%
5.305 1
 
4.8%
5.9516 1
 
4.8%
6.8679 1
 
4.8%
ValueCountFrequency (%)
21.1407 1
4.8%
17.5604 1
4.8%
13.0649 1
4.8%
12.9161 1
4.8%
10.8948 1
4.8%
8.2196 1
4.8%
7.344 1
4.8%
7.217 1
4.8%
7.1521 1
4.8%
6.8679 1
4.8%

Cliente_11
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4395714
Minimum0
Maximum22.484
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:28.187401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.6099
Q12.889
median6.5845
Q314.8113
95-th percentile21.0492
Maximum22.484
Range22.484
Interquartile range (IQR)11.9223

Descriptive statistics

Standard deviation6.8447533
Coefficient of variation (CV)0.81103091
Kurtosis-0.70527633
Mean8.4395714
Median Absolute Deviation (MAD)3.9592
Skewness0.73704213
Sum177.231
Variance46.850648
MonotonicityNot monotonic
2024-11-13T18:58:28.300105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2.1866 1
 
4.8%
14.8113 1
 
4.8%
17.0494 1
 
4.8%
2.8532 1
 
4.8%
2.6253 1
 
4.8%
2.889 1
 
4.8%
15.0032 1
 
4.8%
16.1829 1
 
4.8%
3.5313 1
 
4.8%
4.7283 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
1.6099 1
4.8%
2.1866 1
4.8%
2.6253 1
4.8%
2.8532 1
4.8%
2.889 1
4.8%
2.912 1
4.8%
3.397 1
4.8%
3.5313 1
4.8%
4.7283 1
4.8%
ValueCountFrequency (%)
22.484 1
4.8%
21.0492 1
4.8%
17.0494 1
4.8%
16.1829 1
4.8%
15.0032 1
4.8%
14.8113 1
4.8%
11.7126 1
4.8%
9.7077 1
4.8%
8.2105 1
4.8%
7.7031 1
4.8%

Cliente_12
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6158
Minimum0
Maximum22.5962
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:28.407770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3061
Q15.9051
median6.8738
Q310.2968
95-th percentile16.4706
Maximum22.5962
Range22.5962
Interquartile range (IQR)4.3917

Descriptive statistics

Standard deviation4.9688496
Coefficient of variation (CV)0.57671366
Kurtosis2.082456
Mean8.6158
Median Absolute Deviation (MAD)3.2286
Skewness1.019483
Sum180.9318
Variance24.689466
MonotonicityNot monotonic
2024-11-13T18:58:28.517516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6.0225 1
 
4.8%
10.1049 1
 
4.8%
12.343 1
 
4.8%
6.233 1
 
4.8%
6.8738 1
 
4.8%
8.875 1
 
4.8%
10.2968 1
 
4.8%
12.3127 1
 
4.8%
10.1024 1
 
4.8%
2.3061 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
2.3061 1
4.8%
4.2199 1
4.8%
5.1248 1
4.8%
5.6418 1
4.8%
5.9051 1
4.8%
6.0225 1
4.8%
6.233 1
4.8%
6.4451 1
4.8%
6.5845 1
4.8%
ValueCountFrequency (%)
22.5962 1
4.8%
16.4706 1
4.8%
12.343 1
4.8%
12.3127 1
4.8%
12.2362 1
4.8%
10.2968 1
4.8%
10.2374 1
4.8%
10.1049 1
4.8%
10.1024 1
4.8%
8.875 1
4.8%

Cliente_13
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4773714
Minimum0
Maximum17.7187
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:28.620440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.9896
median6.4451
Q310.0675
95-th percentile15.2069
Maximum17.7187
Range17.7187
Interquartile range (IQR)5.0779

Descriptive statistics

Standard deviation4.5890392
Coefficient of variation (CV)0.61372358
Kurtosis0.10796662
Mean7.4773714
Median Absolute Deviation (MAD)2.1642
Skewness0.49845891
Sum157.0248
Variance21.059281
MonotonicityNot monotonic
2024-11-13T18:58:28.734646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
5.447 1
 
4.8%
5.0114 1
 
4.8%
2.6961 1
 
4.8%
4.7117 1
 
4.8%
9.1064 1
 
4.8%
5.0185 1
 
4.8%
13.5906 1
 
4.8%
7.7229 1
 
4.8%
4.9896 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
2.6961 1
4.8%
4.2809 1
4.8%
4.7117 1
4.8%
4.9896 1
4.8%
5.0114 1
4.8%
5.0185 1
4.8%
5.447 1
4.8%
6.2869 1
4.8%
6.4451 1
4.8%
ValueCountFrequency (%)
17.7187 1
4.8%
15.2069 1
4.8%
13.5906 1
4.8%
12.4538 1
4.8%
10.0708 1
4.8%
10.0675 1
4.8%
9.1064 1
4.8%
8.2105 1
4.8%
7.9895 1
4.8%
7.7229 1
4.8%

Cliente_14
Real number (ℝ)

High correlation  Zeros 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4122
Minimum0
Maximum23.8969
Zeros6
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:28.850729image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.6476
Q310.0708
95-th percentile19.9448
Maximum23.8969
Range23.8969
Interquartile range (IQR)10.0708

Descriptive statistics

Standard deviation7.2195452
Coefficient of variation (CV)1.1259077
Kurtosis0.31242457
Mean6.4122
Median Absolute Deviation (MAD)3.6476
Skewness1.1404203
Sum134.6562
Variance52.121833
MonotonicityNot monotonic
2024-11-13T18:58:28.972209image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
28.6%
2.2133 1
 
4.8%
15.7289 1
 
4.8%
13.4907 1
 
4.8%
2.8799 1
 
4.8%
3.6476 1
 
4.8%
3.2185 1
 
4.8%
14.8623 1
 
4.8%
4.5536 1
 
4.8%
1.6099 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
0 6
28.6%
1.6099 1
 
4.8%
2.2133 1
 
4.8%
2.8799 1
 
4.8%
3.2185 1
 
4.8%
3.6476 1
 
4.8%
4.0306 1
 
4.8%
4.5536 1
 
4.8%
5.9051 1
 
4.8%
8.6033 1
 
4.8%
ValueCountFrequency (%)
23.8969 1
4.8%
19.9448 1
4.8%
15.7289 1
4.8%
14.8623 1
4.8%
13.4907 1
4.8%
10.0708 1
4.8%
8.6033 1
4.8%
5.9051 1
4.8%
4.5536 1
4.8%
4.0306 1
4.8%

Cliente_15
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.903781
Minimum0
Maximum37.006
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:29.081274image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.9742
median11.361
Q315.6084
95-th percentile21.7754
Maximum37.006
Range37.006
Interquartile range (IQR)9.6342

Descriptive statistics

Standard deviation8.4786537
Coefficient of variation (CV)0.7122656
Kurtosis2.7217153
Mean11.903781
Median Absolute Deviation (MAD)5.3868
Skewness1.0636002
Sum249.9794
Variance71.887568
MonotonicityNot monotonic
2024-11-13T18:58:29.200461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
18.0835 1
 
4.8%
11.1505 1
 
4.8%
17.9217 1
 
4.8%
11.361 1
 
4.8%
12.0019 1
 
4.8%
14.003 1
 
4.8%
5.9742 1
 
4.8%
15.2304 1
 
4.8%
8.2196 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
5.1865 1
 
4.8%
5.6418 1
 
4.8%
5.9742 1
 
4.8%
8.2196 1
 
4.8%
10.0675 1
 
4.8%
10.6147 1
 
4.8%
11.1505 1
 
4.8%
11.361 1
 
4.8%
11.7126 1
 
4.8%
ValueCountFrequency (%)
37.006 1
4.8%
21.7754 1
4.8%
18.4207 1
4.8%
18.0835 1
4.8%
17.9217 1
4.8%
15.6084 1
4.8%
15.2304 1
4.8%
14.003 1
4.8%
12.0019 1
4.8%
11.7126 1
4.8%

Cliente_16
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7632381
Minimum0
Maximum21.0351
Zeros3
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:29.313953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.0575
median4.8355
Q39.6824
95-th percentile20.2735
Maximum21.0351
Range21.0351
Interquartile range (IQR)7.6249

Descriptive statistics

Standard deviation6.1215451
Coefficient of variation (CV)0.90512045
Kurtosis0.72369379
Mean6.7632381
Median Absolute Deviation (MAD)3.5228
Skewness1.1116413
Sum142.028
Variance37.473315
MonotonicityNot monotonic
2024-11-13T18:58:29.424490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
14.3%
7.0275 1
 
4.8%
1.5775 1
 
4.8%
9.6824 1
 
4.8%
1.3127 1
 
4.8%
2.0575 1
 
4.8%
5.4347 1
 
4.8%
7.2194 1
 
4.8%
14.6038 1
 
4.8%
4.8355 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 3
14.3%
1.3127 1
 
4.8%
1.5775 1
 
4.8%
2.0575 1
 
4.8%
3.397 1
 
4.8%
4.1554 1
 
4.8%
4.2199 1
 
4.8%
4.2809 1
 
4.8%
4.8355 1
 
4.8%
5.4347 1
 
4.8%
ValueCountFrequency (%)
21.0351 1
4.8%
20.2735 1
4.8%
14.6038 1
4.8%
11.3728 1
4.8%
10.6147 1
4.8%
9.6824 1
4.8%
8.9277 1
4.8%
7.2194 1
4.8%
7.0275 1
4.8%
5.4347 1
4.8%

Cliente_17
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.919776
Minimum0
Maximum30.6412
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:29.530064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.7565
median11.4008
Q320.0138
95-th percentile26.1421
Maximum30.6412
Range30.6412
Interquartile range (IQR)10.2573

Descriptive statistics

Standard deviation8.0520227
Coefficient of variation (CV)0.57845921
Kurtosis-0.28348578
Mean13.919776
Median Absolute Deviation (MAD)3.8061
Skewness0.21230124
Sum292.3153
Variance64.83507
MonotonicityNot monotonic
2024-11-13T18:58:29.658779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
9.5%
10.8288 1
 
4.8%
22.0599 1
 
4.8%
19.8218 1
 
4.8%
11.1926 1
 
4.8%
5.2872 1
 
4.8%
20.0138 1
 
4.8%
11.4008 1
 
4.8%
9.7565 1
 
4.8%
10.8948 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
0 2
9.5%
5.2872 1
4.8%
7.7031 1
4.8%
8.5221 1
4.8%
9.7565 1
4.8%
10.8288 1
4.8%
10.8948 1
4.8%
11.1926 1
4.8%
11.3728 1
4.8%
11.4008 1
4.8%
ValueCountFrequency (%)
30.6412 1
4.8%
26.1421 1
4.8%
22.6587 1
4.8%
22.0599 1
4.8%
21.7754 1
4.8%
20.0138 1
4.8%
19.8218 1
4.8%
15.2069 1
4.8%
14.8006 1
4.8%
12.2362 1
4.8%

Cliente_18
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8233524
Minimum0
Maximum24.3734
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:29.782448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.1248
Q18.2737
median9.1456
Q311.9981
95-th percentile14.8006
Maximum24.3734
Range24.3734
Interquartile range (IQR)3.7244

Descriptive statistics

Standard deviation4.8482326
Coefficient of variation (CV)0.49354155
Kurtosis3.4780586
Mean9.8233524
Median Absolute Deviation (MAD)2.8525
Skewness1.0254004
Sum206.2904
Variance23.505359
MonotonicityNot monotonic
2024-11-13T18:58:29.905923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
9.1456 1
 
4.8%
8.2737 1
 
4.8%
10.5118 1
 
4.8%
9.3561 1
 
4.8%
9.9969 1
 
4.8%
11.9981 1
 
4.8%
8.4656 1
 
4.8%
8.9984 1
 
4.8%
13.2255 1
 
4.8%
5.305 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
5.1248 1
4.8%
5.1865 1
4.8%
5.305 1
4.8%
6.2869 1
4.8%
8.2737 1
4.8%
8.4656 1
4.8%
8.6033 1
4.8%
8.9277 1
4.8%
8.9984 1
4.8%
ValueCountFrequency (%)
24.3734 1
4.8%
14.8006 1
4.8%
14.7105 1
4.8%
13.2923 1
4.8%
13.2255 1
4.8%
11.9981 1
4.8%
10.5118 1
4.8%
9.9969 1
4.8%
9.7077 1
4.8%
9.3561 1
4.8%

Cliente_19
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.276176
Minimum0
Maximum26.1421
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:30.021868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.7574
Q114.7105
median19.7467
Q321.0492
95-th percentile24.567
Maximum26.1421
Range26.1421
Interquartile range (IQR)6.3387

Descriptive statistics

Standard deviation6.3797363
Coefficient of variation (CV)0.36927942
Kurtosis1.2604671
Mean17.276176
Median Absolute Deviation (MAD)3.2761
Skewness-1.1157848
Sum362.7997
Variance40.701035
MonotonicityNot monotonic
2024-11-13T18:58:30.146915image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20.4871 1
 
4.8%
9.6369 1
 
4.8%
7.7574 1
 
4.8%
20.7019 1
 
4.8%
21.3384 1
 
4.8%
19.7467 1
 
4.8%
9.8289 1
 
4.8%
15.5515 1
 
4.8%
24.567 1
 
4.8%
17.5604 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
7.7574 1
4.8%
9.6369 1
4.8%
9.8289 1
4.8%
12.4538 1
4.8%
14.7105 1
4.8%
15.5515 1
4.8%
16.4706 1
4.8%
17.5604 1
4.8%
18.4207 1
4.8%
ValueCountFrequency (%)
26.1421 1
4.8%
24.567 1
4.8%
24.1215 1
4.8%
22.0368 1
4.8%
21.3384 1
4.8%
21.0492 1
4.8%
20.7019 1
4.8%
20.4871 1
4.8%
20.2735 1
4.8%
19.9448 1
4.8%

Cliente_20
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.866819
Minimum0
Maximum37.006
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:30.274515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.8282
Q119.1038
median22.1445
Q324.1215
95-th percentile34.1368
Maximum37.006
Range37.006
Interquartile range (IQR)5.0177

Descriptive statistics

Standard deviation7.3970408
Coefficient of variation (CV)0.33827695
Kurtosis3.5776737
Mean21.866819
Median Absolute Deviation (MAD)2.2289
Skewness-0.69205789
Sum459.2032
Variance54.716213
MonotonicityNot monotonic
2024-11-13T18:58:30.402861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
22.1445 1
 
4.8%
19.1038 1
 
4.8%
16.5997 1
 
4.8%
21.1518 1
 
4.8%
25.5947 1
 
4.8%
20.4797 1
 
4.8%
17.1722 1
 
4.8%
34.1368 1
 
4.8%
22.9781 1
 
4.8%
21.1407 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
14.8282 1
4.8%
16.5997 1
4.8%
17.1722 1
4.8%
17.7187 1
4.8%
19.1038 1
4.8%
20.4797 1
4.8%
21.0351 1
4.8%
21.1407 1
4.8%
21.1518 1
4.8%
ValueCountFrequency (%)
37.006 1
4.8%
34.1368 1
4.8%
30.6412 1
4.8%
25.5947 1
4.8%
24.3734 1
4.8%
24.1215 1
4.8%
23.8969 1
4.8%
22.9781 1
4.8%
22.5962 1
4.8%
22.484 1
4.8%

Almacén
Real number (ℝ)

High correlation  Unique  Zeros 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6317048
Minimum0
Maximum22.0368
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size300.0 B
2024-11-13T18:58:30.537128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.0494
Q13.6114
median7.9895
Q313.2923
95-th percentile20.8703
Maximum22.0368
Range22.0368
Interquartile range (IQR)9.6809

Descriptive statistics

Standard deviation6.3116708
Coefficient of variation (CV)0.73121949
Kurtosis-0.37545247
Mean8.6317048
Median Absolute Deviation (MAD)4.6222
Skewness0.674717
Sum181.2658
Variance39.837188
MonotonicityNot monotonic
2024-11-13T18:58:30.656140image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3.6114 1
 
4.8%
10.7361 1
 
4.8%
13.9021 1
 
4.8%
3.3673 1
 
4.8%
4.5417 1
 
4.8%
2.6952 1
 
4.8%
10.928 1
 
4.8%
20.8703 1
 
4.8%
1.0494 1
 
4.8%
5.9516 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
0 1
4.8%
1.0494 1
4.8%
2.6952 1
4.8%
2.912 1
4.8%
3.3673 1
4.8%
3.6114 1
4.8%
4.0306 1
4.8%
4.1554 1
4.8%
4.5417 1
4.8%
5.9516 1
4.8%
ValueCountFrequency (%)
22.0368 1
4.8%
20.8703 1
4.8%
15.6084 1
4.8%
14.8282 1
4.8%
13.9021 1
4.8%
13.2923 1
4.8%
10.928 1
4.8%
10.7361 1
4.8%
10.2374 1
4.8%
8.5221 1
4.8%

Interactions

2024-11-13T18:58:23.355165image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.195890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.959728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.860487image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.627504image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.307956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.114568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.807374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.802792image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.719598image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.549047image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.307074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.017445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.852476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.715957image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.530870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.351109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.151194image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.916513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.764007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.515220image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.432113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.285887image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.045050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.937487image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.701858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.383595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.189217image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.901420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.883869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.806123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.623849image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.387836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.092164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.935364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.793685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.609017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.438985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.227301image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.000837image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.851105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.595756image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.621100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.376402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.143860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.031010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.804722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.477473image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.281786image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.001246image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.998654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.899014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.720713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.477073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.187943image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.043967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.885332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.704493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.529310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.323729image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.103871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.941349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.694139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.690358image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.450840image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.229222image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.109826image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.879624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.551364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.359916image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.095090image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.081902image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.976010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.802995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.554237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.262402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.124597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.963536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.790914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.602224image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.401757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.182284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.025953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.779480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.760858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.525858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.316403image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.190920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.952438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.630173image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.432564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.178659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.162612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.051410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.888921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.626752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.440904image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.205725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.041047image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.868684image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.677605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.485422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.263698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.100594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.870146image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.837589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.605946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.408705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.275856image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.032205image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.709323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.516474image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.266942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.247102image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.131818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.971493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.703688image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.513963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.289128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.119083image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.953537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.755933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.567929image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.339462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.176234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.954584image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.911640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.679398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.497381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.445942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.107665image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.789508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.589046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.347868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.334204image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.208160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.046606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.786947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.580923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.370714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.195331image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.033556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.833626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.649354image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.413910image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.258636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.033644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.011577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.769398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.598902image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.536676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.196978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.882935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.680091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.445348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.435980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.302496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.142928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.895633image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.667979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.466405image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.294727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.135642image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.928321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.742719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.505525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.349035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.132327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.095316image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.853909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.696623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.615960image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.282078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.970339image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.767969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.540307image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.541091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.401016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.231999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.982011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.750994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.565617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.472516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.230439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.013764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.830815image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.600901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.437727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.226433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.177626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:47.999678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.787129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.688930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.358689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.047924image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.849115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.628470image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.635927image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.476883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.331087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.057987image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.830033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.661042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.548252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.314654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.091769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.912912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.682061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.521556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.315338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.259165image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.074912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.878711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.761524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.431488image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.122015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.924024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.711648image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.722892image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.552475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.412410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.129110image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.901067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.739506image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.627636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.400070image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.163754image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.993979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.754789image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.598250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.395890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.331726image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.149919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:49.960961image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.832024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.502537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.291748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.995939image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.797669image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.823881image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.630530image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.485467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.205370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:07.995581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.823617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.705531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.481569image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.239881image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.072073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.837320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.672600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.476065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.407003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.223966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.055320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.905618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.571487image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.367077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.077509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.886249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:00.916830image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.708305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.558818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.280556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.085399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:09.905831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.779397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.561191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.311349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.148928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:18.915291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.748115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.555406image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.494965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.310520image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.149552image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:51.992277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.658476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.458499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.168070image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:58.993857image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.022126image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.796023image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.649568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.366979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.177424image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.002384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.866505image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.653880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.406666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.246682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.012186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.847383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.649420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.572240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.388501image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.235949image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.069630image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.735611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.540986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.246921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.085612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.111251image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.875348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.725628image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.445599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.267210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.086899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:11.949095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.738129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.577714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.325976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.090762image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:20.928745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.738136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.658907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.472854image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.330413image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.160991image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.819867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.627622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.334465image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.289685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.207463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:02.964452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.822588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.531743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.349896image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.182123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.038434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.826827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.661436image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.414616image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.178126image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.025186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.836540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.736024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.550858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.414541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.236984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.898628image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.702178image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.406105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.366997image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.289060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.041044image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.901890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.603863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.436433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.261875image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.120566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.910163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.736974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.491535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.252762image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.100400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:22.916236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.819938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.638280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.504878image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.318443image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:53.984460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.790720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.494811image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.454086image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.381057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.242004image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:04.994000image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.683664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.530989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.358207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.202956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:13.999130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.819479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.575148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.334328image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.185115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.001840image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.897521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.717535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.592357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.395924image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.066924image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.869916image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.572005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.535749image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.465075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.319464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.071608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.761746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.612447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.449738image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.282021image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.085595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.899515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.663607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.420532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.264678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.086411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:24.974978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.795687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.679416image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.470664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.143757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:55.947442image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.648702image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.621513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.548396image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.392958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.147453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.846944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.690123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.536790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.367689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.166859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:15.976917image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.745105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.498739image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.342896image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.170433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:25.068981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:48.879878image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:50.777957image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:52.555924image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:54.234399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:56.040589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:57.733618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:57:59.715512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:01.638913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:03.475443image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:05.233696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:06.942505image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:08.774252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:10.634644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:12.454439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:14.271134image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:16.076892image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:17.839010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:19.691739image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:21.434853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-13T18:58:23.267432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-11-13T18:58:30.897362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
AlmacénCliente_1Cliente_10Cliente_11Cliente_12Cliente_13Cliente_14Cliente_15Cliente_16Cliente_17Cliente_18Cliente_19Cliente_2Cliente_20Cliente_3Cliente_4Cliente_5Cliente_6Cliente_7Cliente_8Cliente_9
Almacén1.0000.8660.6370.8600.3050.2390.411-0.0700.7690.783-0.200-0.5970.0130.217-0.0260.8740.3950.755-0.074-0.4500.952
Cliente_10.8661.0000.8540.8920.5780.4370.5500.1990.9380.6730.110-0.3570.2420.1470.0560.9910.2680.7790.145-0.1980.818
Cliente_100.6370.8541.0000.7400.8390.4470.5350.4730.9450.5550.471-0.1250.2980.0610.0290.8480.0390.5360.1810.0790.568
Cliente_110.8600.8920.7401.0000.5310.0880.5700.1870.8100.8640.014-0.535-0.131-0.126-0.1360.8750.3800.6410.038-0.1520.876
Cliente_120.3050.5780.8390.5311.0000.3460.5260.6700.6870.3700.740-0.0160.171-0.231-0.0530.558-0.1580.2200.2820.4270.310
Cliente_130.2390.4370.4470.0880.3461.0000.1470.2480.481-0.0670.4750.4230.9150.5290.6490.4580.0280.5040.5550.1530.204
Cliente_140.4110.5500.5350.5700.5260.1471.0000.4670.5610.6060.245-0.330-0.070-0.213-0.2540.5480.2120.3050.2390.0080.424
Cliente_15-0.0700.1990.4730.1870.6700.2480.4671.0000.3310.0250.8190.2900.160-0.300-0.0310.2130.144-0.0660.4330.652-0.025
Cliente_160.7690.9380.9450.8100.6870.4810.5610.3311.0000.6150.274-0.2050.3200.2000.0910.9340.1980.7260.252-0.0670.706
Cliente_170.7830.6730.5550.8640.370-0.0670.6060.0250.6151.000-0.116-0.649-0.257-0.214-0.2390.6480.3980.465-0.079-0.2250.825
Cliente_18-0.2000.1100.4710.0140.7400.4750.2450.8190.274-0.1161.0000.5050.416-0.1730.1340.104-0.199-0.1440.4700.764-0.175
Cliente_19-0.597-0.357-0.125-0.535-0.0160.423-0.3300.290-0.205-0.6490.5051.0000.6400.0960.559-0.338-0.209-0.1830.4680.534-0.598
Cliente_20.0130.2420.298-0.1310.1710.915-0.0700.1600.320-0.2570.4160.6401.0000.5210.7120.247-0.0420.3750.5400.176-0.038
Cliente_200.2170.1470.061-0.126-0.2310.529-0.213-0.3000.200-0.214-0.1730.0960.5211.0000.4010.174-0.0540.3980.118-0.4460.071
Cliente_3-0.0260.0560.029-0.136-0.0530.649-0.254-0.0310.091-0.2390.1340.5590.7120.4011.0000.0830.1100.3110.5680.2320.069
Cliente_40.8740.9910.8480.8750.5580.4580.5480.2130.9340.6480.104-0.3380.2470.1740.0831.0000.2720.7890.149-0.2220.818
Cliente_50.3950.2680.0390.380-0.1580.0280.2120.1440.1980.398-0.199-0.209-0.042-0.0540.1100.2721.0000.4780.106-0.0180.506
Cliente_60.7550.7790.5360.6410.2200.5040.305-0.0660.7260.465-0.144-0.1830.3750.3980.3110.7890.4781.0000.270-0.3690.703
Cliente_7-0.0740.1450.1810.0380.2820.5550.2390.4330.252-0.0790.4700.4680.5400.1180.5680.1490.1060.2701.0000.4650.039
Cliente_8-0.450-0.1980.079-0.1520.4270.1530.0080.652-0.067-0.2250.7640.5340.176-0.4460.232-0.222-0.018-0.3690.4651.000-0.270
Cliente_90.9520.8180.5680.8760.3100.2040.424-0.0250.7060.825-0.175-0.598-0.0380.0710.0690.8180.5060.7030.039-0.2701.000

Missing values

2024-11-13T18:58:25.208920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-11-13T18:58:25.507496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Cliente_1Cliente_2Cliente_3Cliente_4Cliente_5Cliente_6Cliente_7Cliente_8Cliente_9Cliente_10Cliente_11Cliente_12Cliente_13Cliente_14Cliente_15Cliente_16Cliente_17Cliente_18Cliente_19Cliente_20Almacén
00.00007.562515.53651.19984.71451.74077.940817.19474.29333.26592.18666.02255.44702.213311.15051.577510.82889.145620.487122.14453.6114
17.56250.00003.38387.743314.57208.52370.484713.797410.15227.152114.811310.10492.696113.490718.08357.027519.82188.27379.636919.103810.7361
215.53653.38380.000012.54380.00000.00000.000016.035513.912013.064917.049412.34305.011415.728917.92179.682422.059910.51187.757416.599713.9021
31.19987.743312.54380.00005.07210.91197.579817.40953.57813.34512.85326.23304.71172.879911.36101.312711.19269.356120.701921.15183.3673
44.714514.57200.00005.07210.00004.81870.00000.00000.00007.21702.62536.87389.10643.647612.00195.43475.28729.996921.338425.59474.5417
51.74078.52370.00000.91194.81870.00007.886620.04722.90604.08992.88908.87505.01853.218514.00302.057511.400811.998119.746720.47972.6952
67.94080.48470.00007.57980.00007.88660.000013.989310.14997.344015.003210.29680.00000.00000.00007.219420.01388.46569.828917.172210.9280
717.194713.797416.035517.40950.000020.047213.98930.000019.696312.916116.182912.312713.590614.86235.974214.603822.65878.998415.551534.136820.8703
84.293310.152213.91203.57810.00002.906010.149919.69630.00006.86793.531310.10247.72294.553615.23044.83559.756513.225524.567022.97811.0494
93.26597.152113.06493.34517.21704.08997.344012.91616.86790.00004.72832.30614.98960.00008.21960.000010.89485.305017.560421.14075.9516
Cliente_1Cliente_2Cliente_3Cliente_4Cliente_5Cliente_6Cliente_7Cliente_8Cliente_9Cliente_10Cliente_11Cliente_12Cliente_13Cliente_14Cliente_15Cliente_16Cliente_17Cliente_18Cliente_19Cliente_20Almacén
116.022510.104912.34306.23306.87388.875010.296812.312710.10242.30616.58450.00006.44515.90515.64184.219912.23625.124816.470622.596210.2374
125.44702.69615.01144.71179.10645.01850.000013.59067.72294.98968.21056.44510.000010.070810.06754.280915.20696.286912.453817.71877.9895
132.213313.490715.72892.87993.64763.21850.000014.86234.55360.00001.60995.905110.07080.00000.00000.00000.00008.603319.944823.89694.0306
1411.150518.083517.921711.361012.001914.00300.00005.974215.23048.219611.71265.641810.06750.00000.000010.614721.77545.186518.420737.006015.6084
151.57757.02759.68241.31275.43472.05757.219414.60384.83550.00003.39704.21994.28090.000010.61470.000011.37288.927720.273521.03514.1554
1610.828819.821822.059911.19265.287211.400820.013822.65879.756510.89487.703112.236215.20690.000021.775411.37280.000014.800626.142130.64128.5221
179.14568.273710.51189.35619.996911.99818.46568.998413.22555.30509.70775.12486.28698.60335.18658.927714.80060.000014.710524.373413.2923
1820.48719.63697.757420.701921.338419.74679.828915.551524.567017.560421.049216.470612.453819.944818.420720.273526.142114.71050.000024.121522.0368
1922.144519.103816.599721.151825.594720.479717.172234.136822.978121.140722.484022.596217.718723.896937.006021.035130.641224.373424.12150.000014.8282
203.611410.736113.90213.36734.54172.695210.928020.87031.04945.95162.912010.23747.98954.030615.60844.15548.522113.292322.036814.82820.0000